convolutional neural networks
Term · Cybersecurity · MLC-T-CYB-000962
A class of feed-forward neural networks that include at least one convolutional layer, referred to as CNNs. In convolutional layers, feature detectors (known as kernels or filters) detect specific features across the input data. CNNs are primarily used for processing grid-like data, such as images, and are particularly effective for tasks like image classification, object detection, and image segmentation.
| Identifier | MLC-T-CYB-000962 |
|---|---|
| Field | Cybersecurity |
| Abbreviation | CNN |
| References | NIST AI 100-2e2025; NIST CSRC Glossary |
Record as JSON
{
"id": "MLC-T-CYB-000962",
"term": "convolutional neural networks",
"field": "Cybersecurity",
"definition": "A class of feed-forward neural networks that include at least one convolutional layer, referred to as CNNs. In convolutional layers, feature detectors (known as kernels or filters) detect specific features across the input data. CNNs are primarily used for processing grid-like data, such as images, and are particularly effective for tasks like image classification, object detection, and image segmentation.",
"abbreviation": "CNN",
"references": [
"NIST AI 100-2e2025",
"NIST CSRC Glossary"
],
"url": "https://mlchart.com/terminology/cybersecurity/convolutional-neural-networks/"
}
Record 962 of 4,693 in Cybersecurity terminology (MLC-0102). Request the full dataset.